论文标题

马尔可夫链具有双重随机过渡矩阵,并应用于一系列非选择性量子测量

Markov chains with doubly stochastic transition matrices and application to a sequence of non-selective quantum measurements

论文作者

Vourdas, A.

论文摘要

考虑了使用双重随机过渡矩阵的时间依赖性有限状态马尔可夫链。研究了描述概率向量的随机性以及离散路径的随机性的熵量。引入了包含所有未来概率向量的通用凸多图形,并且基于双重随机矩阵的Birkhoff-von Neumann扩展。它们是普遍的,因为它们仅依赖于当前的概率向量,并且独立于描述未来时间演变的双随机过渡矩阵。结果表明,随着离散时间的增加,这些凸多属型的收缩缩小,其中概率向量的最小熵增加。这些想法应用于具有$ d $二维的希尔伯特空间的量子系统上的一系列非选择性测量(每个步骤中都有不同的投影仪)。考虑到测量之间的间隔的统一时间演变。非选择性测量值在密度矩阵中的非对抗元素上破坏了频谱。这种“雌雄同体”系统是经典概率系统(测量后立即)和量子系统(在测量之间的间隔)的有趣组合。讨论了各种示例。在Ergodic示例中,系统在所有离散路径上都以相同的概率遵循所有离散路径。在快速重复反复选择性测量的示例中,我们获得了众所周知的量子Zeno效应,并具有“冷冻离散路径”(此处以双重随机过渡矩阵的Markov链为基础,以我们的通用方法的两种效果)。

A time-dependent finite-state Markov chain that uses doubly stochastic transition matrices, is considered. Entropic quantities that describe the randomness of the probability vectors, and also the randomness of the discrete paths, are studied. Universal convex polytopes are introduced which contain all future probability vectors, and which are based on the Birkhoff-von Neumann expansion for doubly stochastic matrices. They are universal in the sense that they depend only on the present probability vector, and are independent of the doubly stochastic transition matrices that describe time evolution in the future. It is shown that as the discrete time increases these convex polytopes shrink, and the minimum entropy of the probability vectors in them increases. These ideas are applied to a sequence of non-selective measurements (with different projectors in each step) on a quantum system with $d$-dimensional Hilbert space. The unitary time evolution in the intervals between the measurements, is taken into account. The non-selective measurements destroy stroboscopically the non-diagonal elements in the density matrix. This `hermaphrodite' system is an interesting combination of a classical probabilistic system (immediately after the measurements) and a quantum system (in the intervals between the measurements). Various examples are discussed. In the ergodic example, the system follows asymptotically all discrete paths with the same probability. In the example of rapidly repeated non-selective measurements, we get the well known quantum Zeno effect with `frozen discrete paths' (presented here as a biproduct of our general methodology based on Markov chains with doubly stochastic transition matrices).

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